Education occupation
Will AI replace Secondary School Teachers, Except Special And Career/Technical Education?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Secondary School Teachers, Except Special And Career/Technical Education
Secondary School Teachers, Except Special and Career/Technical Education · Education
Higher AI & automation exposure than 19% of jobs we compare.
Exposure index: 19 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 19% chance of job loss.
Why did this job get this result?
- Course curriculum management, gradebook maintenance, and digital homework assignments involve continuous computer use.
- Academic subject standards, examination schedules, and educational compliance frameworks follow structured educational guidelines.
- Instruction takes place in lively middle and high school classrooms requiring physical presence, lab supervision, and active monitoring.
- Teachers must evaluate student analytical reasoning, deconstruct complex subject concepts, and provide constructive essay feedback.
- Mentoring adolescents, navigating sensitive teenage challenges, and inspiring academic confidence require strong interpersonal skills.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Adaptive digital learning platforms can automate routine subject quizzes, homework grading, and basic grammar evaluations.
- Virtual lab simulations and multimedia tools can supplement science demonstrations and historical documentary exploration.
Human strengths in this job
- Mentoring adolescents through challenging developmental, academic, and personal crises with wisdom and compassion
- Facilitating lively, critical classroom debates that teach students how to evaluate competing viewpoints with respect
- Providing nuanced, personal feedback that encourages original intellectual thinking rather than mechanical regurgitation
- Recognizing subtle signs of adolescent depression, bullying, or crisis and intervening to connect students with support
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 19 means higher modeled exposure than approximately 19% of comparable jobs.
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How does your work compare?
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What people in this job commonly do
- Prepare students for later grades by encouraging them to explore learning opportunities and to persevere with challenging tasks.
- Instruct through lectures, discussions, and demonstrations in one or more subjects, such as English, mathematics, or social studies.
- Establish and enforce rules for behavior and procedures for maintaining order among students.
- Prepare materials and classrooms for class activities.
- Adapt teaching methods and instructional materials to meet students' varying needs and interests.
- Prepare, administer, and grade tests and assignments to evaluate students' progress.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 25-2031.00
Career category: Education
Typical education: Bachelor's degree
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.